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E

End-to-End Agentic AI Automation Lab

Verified Integration
Author: @MDalamin5•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#API#Git#AI#GitHub#Node.js#Docker#Automation

Client Configuration

— Connect End-to-End Agentic AI Automation Lab to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "end-to-end-agentic-ai-automation-lab": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-end-to-end-agentic-ai-automation-lab"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Explore real-world projects and advanced implementations of agentic AI systems, multi-agent frameworks, RAG pipelines, and AI workflow automation.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for End-to-End Agentic AI Automation Lab

The lab includes examples for end-to-end deployment using CI/CD pipelines with tools like Docker, AWS (EC2/S3/ECR), and BentoML.

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